CN113204584A - Insect condition monitoring and early warning method, device and equipment applied to tobacco industry - Google Patents
Insect condition monitoring and early warning method, device and equipment applied to tobacco industry Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/24564—Applying rules; Deductive queries
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- G06F16/24—Querying
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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Abstract
The invention discloses an insect condition monitoring and early warning method, device and equipment applied to the tobacco industry, and the idea of the invention is to periodically collect insect condition data of a specific area and form an insect condition monitoring database to be processed, then analyze and study samples in the database by using established treatment mechanisms aiming at different areas to obtain objective judgment results, then intuitively feed back control measures corresponding to different early warning and study results through a monitoring platform, and the data period collection statistics and rule decision model can be realized on the monitoring platform. The invention can intuitively, efficiently, accurately and conveniently carry out objective and scientific monitoring and early warning on the tobacco pest situation, saves a large amount of labor cost, and fills the gap of informatization and intellectualization of pest situation control in the tobacco industry.
Description
Technical Field
The invention relates to the field of tobacco processing, in particular to a method, a device and equipment for monitoring and early warning insect situations in the tobacco industry.
Background
According to the relevant regulations of cigarette products, "cigarettes should not be damaged by worms or worms in the box", products containing worms or worms have important quality defects (belonging to A-type defects, and related units can deduct more scores in a scoring mechanism in the tobacco industry). Therefore, effective control of insect conditions is an important component for ensuring product quality, and each tobacco enterprise highly pays attention to insect condition monitoring, treatment and control all the time, and invests a large amount of manpower, material resources and financial resources.
At present, most of insect condition monitoring mechanisms of all tobacco enterprises adopt main work of insect condition summary analysis and report in a manual mode. The monitoring mode has low accuracy and low efficiency for the processes of data acquisition, arrangement and the like due to more manual intervention, and particularly needs to consume a large amount of labor cost, so that the insect condition monitoring mode is lagged, and the novel requirements of the tobacco industry on the scientificity and rationality of insect condition monitoring cannot be met.
Disclosure of Invention
Therefore, the invention aims to provide an insect condition monitoring and early warning method, device and equipment applied to the tobacco industry, and correspondingly provides a computer readable storage medium and a computer program product so as to meet the requirements of the tobacco industry on intellectualization and digitization of insect condition monitoring and early warning.
The technical scheme adopted by the invention is as follows:
in a first aspect, the invention provides an insect condition monitoring and early warning method applied to the tobacco industry, which comprises the following steps:
establishing an insect condition monitoring database based on insect pest data of different treatment areas monitored in a preset period;
forming a plurality of corresponding early warning judgment mechanisms according to different treatment areas according to a pre-established pest rule base;
carrying out early warning decision on pest damage data in the pest situation monitoring database by utilizing the early warning judgment mechanism to obtain a plurality of corresponding early warning results;
and combining a visual insect condition early warning platform to show different early warning results in a distinguishing way.
In at least one possible implementation manner, the establishing an insect pest monitoring database based on insect pest data of different treatment areas monitored in a preset period includes:
collecting the number of tobacco pests in each trap arranged in each preset treatment area every day, and taking the number as a sample to be selected;
taking a week as a unit, and performing data statistics on the samples to be selected in each treatment area;
resetting the data of the traps in each treatment area by taking a month as a unit, and monitoring again;
and obtaining pest monitoring big data according to the mode, and constructing the pest situation monitoring database according to the pest monitoring big data.
In at least one possible implementation, the pre-established pest rule base includes: and establishing the insect pest rule base by combining expert prior knowledge and actually measured environment data of different treatment areas.
In at least one possible implementation manner, the displaying different warning results in a differentiated manner by combining with a visual insect situation warning platform includes:
marking the visual insect condition early warning platform by different colors, and outputting insect condition control measure information corresponding to different early warning results; wherein the early warning result of each treatment area comprises preset early warning level information.
In a second aspect, the present invention provides an insect pest situation monitoring and early warning device applied in tobacco industry, wherein the insect pest situation monitoring and early warning device comprises:
the database construction module is used for establishing an insect pest situation monitoring database based on insect pest data of different treatment areas monitored in a preset period;
the early warning judgment mechanism determining module is used for forming a plurality of corresponding early warning judgment mechanisms according to different treatment areas according to a pre-established pest rule base;
the early warning judgment module is used for carrying out early warning decision on the pest damage data in the pest situation monitoring database by utilizing the early warning judgment mechanism to obtain a plurality of corresponding early warning results;
and the visual display module is used for combining the visual insect condition early warning platform and displaying different early warning results in a distinguishing way.
In at least one possible implementation manner, the database construction module includes:
the sample collection unit is used for collecting the number of tobacco pests in each trap arranged in each preset treatment area every day and taking the tobacco pests as a sample to be selected;
the data statistics unit is used for carrying out data statistics on the samples to be selected in each treatment area by taking a week as a unit;
the monitoring resetting unit is used for resetting the data of the traps in each treatment area by taking a month as a unit and monitoring again;
and the database construction unit is used for obtaining the pest monitoring big data according to the mode and constructing the pest situation monitoring database according to the pest monitoring big data.
In at least one possible implementation manner, the early warning judgment module comprises a pest rule base construction unit;
and the pest rule base construction unit is used for establishing the pest rule base by combining expert prior knowledge and the measured environmental data of different treatment areas.
In at least one possible implementation manner, the visual display module comprises a management and control measure grading unit;
the management and control measure grading unit is used for marking the visual insect condition early warning platform by different colors and outputting insect condition management and control measure information corresponding to different early warning results; wherein the early warning result of each treatment area comprises preset early warning level information.
In a third aspect, the present invention provides an insect pest situation monitoring and early warning device applied in tobacco industry, which comprises:
one or more processors, memory which may employ a non-volatile storage medium, and one or more computer programs stored in the memory, the one or more computer programs comprising instructions which, when executed by the apparatus, cause the apparatus to perform the method as in the first aspect or any possible implementation of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when run on a computer, causes the computer to perform at least the method as described in the first aspect or any of its possible implementations.
In a fifth aspect, the present invention also provides a computer program product for performing at least the method of the first aspect or any of its possible implementations, when the computer program product is executed by a computer.
In at least one possible implementation manner of the fifth aspect, the relevant program related to the product may be stored in whole or in part on a memory packaged with the processor, or may be stored in part or in whole on a storage medium not packaged with the processor.
The invention has the conception that the insect pest data of a specific area are periodically collected by using a computer technology to form an insect pest situation monitoring database to be processed, samples in the insect pest situation monitoring database are analyzed and researched by using established treatment mechanisms aiming at different areas to obtain objective judgment results independent of artificial subjective experiences, then control measures corresponding to different early warning and research results are intuitively and reversely fed out through a monitoring platform, and the data periodic collection statistics and rule decision model can also be realized on the monitoring platform. The invention can intuitively, efficiently, accurately and conveniently carry out objective and scientific monitoring and early warning on the tobacco pest situation, saves a large amount of labor cost, and fills the gap of informatization and intellectualization of pest situation control in the tobacco industry.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of an insect pest situation monitoring and early warning method applied to the tobacco industry according to an embodiment of the present invention;
fig. 2 is a schematic view of an insect pest situation monitoring and early warning device applied to the tobacco industry according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
The invention provides an embodiment of an insect situation monitoring and early warning method applied to the tobacco industry, which is shown in fig. 1 and specifically comprises the following steps:
and S1, establishing an insect pest situation monitoring database based on insect pest data of different treatment areas monitored in a preset period.
In practice, traps (such as but not limited to tobacco raw material traps and tobacco beetle traps) may be provided in plants such as the wire-making plant, the bale-rolling plant, the stock-racking store, the stock-and finished-product store, and digital electronic traps are preferred for the purpose of incorporating the present invention, which facilitate data signal transmission.
Then, the number of tobacco pests in each trap in each treatment area in a first unit time (for example, every day) can be collected and used as a sample to be selected, and then data statistics (including but not limited to invalid data elimination, data integration, data editing, data screening and the like, which can be set as required, and is not described in detail) is performed on the sample to be selected in each treatment area in a second unit time (for example, week); and then resetting the trap data in each treatment area in a second unit of time (such as a month), and monitoring again (including but not limited to automatically zeroing the traps with the counted data, or acquiring the running time information of the traps, and performing time division on the data sent by the traps according to the running time information, and the like), so that the pest monitoring big data can be obtained in the above manner, and the pest monitoring database mentioned above is constructed by using the pest monitoring big data.
And S2, forming a plurality of corresponding early warning judgment mechanisms according to different treatment areas according to a pre-established pest rule base.
In actual operation, the pest rule base can be established by combining expert priori knowledge and measured environment data of different treatment areas. For example, insect pest control data is captured from public data of the internet or professional insect pest departments, or combined with insect pest control historical data of various tobacco enterprises and combined with actually measured environmental information of areas where the tobacco enterprises are located and/or positions where various control areas are located, such as temperature, humidity, weather forecast and the like, so that early warning judgment mechanisms aiming at different control areas are formed. It can be understood that the early warning determination mechanism is related to the insect situation monitoring sample data, and therefore, the early warning threshold value corresponding to the insect quantity is preferably, but not limited to, set based on the data quantity and the treatment requirement.
And S3, performing early warning decision on the pest damage data in the pest situation monitoring database by using the early warning judgment mechanism to obtain a plurality of corresponding early warning results.
After the large-scale data samples in the database are researched and judged through an early warning judgment mechanism, different early warning results for each treatment area can be output, preferably, early warning level scores set for the early warning results of each treatment area can be considered, and a foundation is provided for subsequent multi-layer management and control information.
And step S4, displaying different early warning results in a distinguishing manner by combining a visual insect situation early warning platform.
In actual operation, a visual early warning platform for the insect condition monitoring early warning scheme can be developed by using a VBA technology, so that after a plurality of early warning results are researched and judged through a rule model, insect condition management and control measure information corresponding to different early warning results can be intuitively output on the visual platform by adopting different colors, a non-limited implementation reference can be given, for example, the platform can give a green prompt that the area can continue insect condition monitoring, a yellow prompt that the area needs deep maintenance to avoid insect pest development, and a red prompt that the area needs insect pest management in time. Of course, in addition to this function, the visual insect pest situation early warning platform may integrate the aforementioned acquisition of insect pest situation monitoring data, automatic statistics of data, compilation and storage of a plurality of early warning rule models, and study and analysis of the acquired sample data by a predetermined rule strategy, and those skilled in the art may implement the method in an expanded manner by combining with mature computer technology, data mining analysis technology, and the like, which is not described in detail herein.
The invention is characterized in that the insect pest data of a specific area are periodically collected by using a computer technology to form an insect pest situation monitoring database to be processed, samples in the insect pest situation monitoring database are analyzed and researched by using established treatment mechanisms aiming at different areas to obtain objective judgment results independent of artificial subjective experiences, then control measures corresponding to different early warning research and judgment results are intuitively fed back through a monitoring platform, and the data periodic collection statistics and rule decision model can be realized on the monitoring platform. The invention can intuitively, efficiently, accurately and conveniently carry out objective and scientific monitoring and early warning on the tobacco pest situation, saves a large amount of labor cost, and fills the gap of informatization and intellectualization of pest situation control in the tobacco industry.
Corresponding to the above embodiments and preferred schemes, the present invention further provides an embodiment of an insect situation monitoring and early warning device applied to the tobacco industry, as shown in fig. 2, the insect situation monitoring and early warning device specifically includes the following components:
the database construction module 1 is used for establishing an insect pest situation monitoring database based on insect pest data of different treatment areas monitored in a preset period;
the early warning judgment mechanism determining module 2 is used for forming a plurality of corresponding early warning judgment mechanisms according to different treatment areas according to a pre-established pest rule base;
the early warning judgment module 3 is used for carrying out early warning decision on the pest damage data in the pest situation monitoring database by utilizing the early warning judgment mechanism to obtain a plurality of corresponding early warning results;
and the visual display module 4 is used for combining the visual insect situation early warning platform and displaying different early warning results in a distinguishing manner.
In at least one possible implementation manner, the database construction module includes:
the sample collection unit is used for collecting the number of tobacco pests in each trap arranged in each preset treatment area every day and taking the tobacco pests as a sample to be selected;
the data statistics unit is used for carrying out data statistics on the samples to be selected in each treatment area by taking a week as a unit;
the monitoring resetting unit is used for resetting the data of the traps in each treatment area by taking a month as a unit and monitoring again;
and the database construction unit is used for obtaining the pest monitoring big data according to the mode and constructing the pest situation monitoring database according to the pest monitoring big data.
In at least one possible implementation manner, the early warning judgment module comprises a pest rule base construction unit;
and the pest rule base construction unit is used for establishing the pest rule base by combining expert prior knowledge and the measured environmental data of different treatment areas.
In at least one possible implementation manner, the visual display module comprises a management and control measure grading unit;
the management and control measure grading unit is used for marking the visual insect condition early warning platform by different colors and outputting insect condition management and control measure information corresponding to different early warning results; wherein the early warning result of each treatment area comprises preset early warning level information.
It should be understood that the division of each component in the insect pest situation monitoring and early warning device applied to the tobacco industry shown in fig. 2 is only a division of a logic function, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these components may all be implemented in software invoked by a processing element; or may be implemented entirely in hardware; and part of the components can be realized in the form of calling by the processing element in software, and part of the components can be realized in the form of hardware. For example, a certain module may be a separate processing element, or may be integrated into a certain chip of the electronic device. Other components are implemented similarly. In addition, all or part of the components can be integrated together or can be independently realized. In implementation, each step of the above method or each component above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above components may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, these components may be integrated together and implemented in the form of a System-On-a-Chip (SOC).
In view of the foregoing examples and preferred embodiments thereof, it will be appreciated by those skilled in the art that, in practice, the technical idea underlying the present invention may be applied in a variety of embodiments, the present invention being schematically illustrated by the following vectors:
(1) an insect pest situation monitoring and early warning device applied to the tobacco industry. The device may specifically include: one or more processors, memory, and one or more computer programs, wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions, which when executed by the apparatus, cause the apparatus to perform the steps/functions of the foregoing embodiments or an equivalent implementation.
Preferably, the insect pest situation monitoring and early warning device applied to the tobacco industry can be a central control machine, an industrial control computer, a personal computer, an intelligent terminal and the like.
(2) A readable storage medium, on which a computer program or the above-mentioned apparatus is stored, which, when executed, causes the computer to perform the steps/functions of the above-mentioned embodiments or equivalent implementations.
In the several embodiments provided by the present invention, any function, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on this understanding, some aspects of the present invention may be embodied in the form of software products, which are described below, or portions thereof, which substantially contribute to the art.
(3) A computer program product (which may include the above apparatus) when running on a terminal device, causes the terminal device to execute the insect pest situation monitoring and warning method applied to the tobacco industry of the foregoing embodiment or the equivalent embodiment.
From the above description of the embodiments, it is clear to those skilled in the art that all or part of the steps in the above implementation method can be implemented by software plus a necessary general hardware platform. With this understanding, the above-described computer program products may include, but are not limited to, refer to APP; in the foregoing, the device/terminal may be a computer device, and the hardware structure of the computer device may further specifically include: at least one processor, at least one communication interface, at least one memory, and at least one communication bus; the processor, the communication interface and the memory can all complete mutual communication through the communication bus. The processor may be a central Processing unit CPU, a DSP, a microcontroller, or a digital Signal processor, and may further include a GPU, an embedded Neural Network Processor (NPU), and an Image Signal Processing (ISP), and may further include a specific integrated circuit ASIC, or one or more integrated circuits configured to implement the embodiments of the present invention, and the processor may have a function of operating one or more software programs, and the software programs may be stored in a storage medium such as a memory; and the aforementioned memory/storage media may comprise: non-volatile memories (non-volatile memories) such as non-removable magnetic disks, U-disks, removable hard disks, optical disks, etc., and Read-Only memories (ROM), Random Access Memories (RAM), etc.
In the embodiments of the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, and means that there may be three relationships, for example, a and/or B, and may mean that a exists alone, a and B exist simultaneously, and B exists alone. Wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
Those of skill in the art will appreciate that the various modules, elements, and method steps described in the embodiments disclosed in this specification can be implemented as electronic hardware, combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In addition, the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other. In particular, for embodiments of devices, apparatuses, etc., since they are substantially similar to the method embodiments, reference may be made to some of the descriptions of the method embodiments for their relevant points. The above-described embodiments of devices, apparatuses, etc. are merely illustrative, and modules, units, etc. described as separate components may or may not be physically separate, and may be located in one place or distributed in multiple places, for example, on nodes of a system network. Some or all of the modules and units can be selected according to actual needs to achieve the purpose of the above-mentioned embodiment. Can be understood and carried out by those skilled in the art without inventive effort.
The structure, features and effects of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the above embodiments are merely preferred embodiments of the present invention, and it should be understood that technical features related to the above embodiments and preferred modes thereof can be reasonably combined and configured into various equivalent schemes by those skilled in the art without departing from and changing the design idea and technical effects of the present invention; therefore, the invention is not limited to the embodiments shown in the drawings, and all the modifications and equivalent embodiments that can be made according to the idea of the invention are within the scope of the invention as long as they are not beyond the spirit of the description and the drawings.
Claims (10)
1. The insect pest situation monitoring and early warning method applied to the tobacco industry is characterized by comprising the following steps of:
establishing an insect condition monitoring database based on insect pest data of different treatment areas monitored in a preset period;
forming a plurality of corresponding early warning judgment mechanisms according to different treatment areas according to a pre-established pest rule base;
carrying out early warning decision on pest damage data in the pest situation monitoring database by utilizing the early warning judgment mechanism to obtain a plurality of corresponding early warning results;
and combining a visual insect condition early warning platform to show different early warning results in a distinguishing way.
2. The insect pest situation monitoring and early warning method applied to the tobacco industry according to claim 1, wherein the establishing of the insect pest situation monitoring database based on the insect pest data of different treatment areas monitored in the preset period comprises:
collecting the number of tobacco pests in each trap arranged in each preset treatment area every day, and taking the number as a sample to be selected;
taking a week as a unit, and performing data statistics on the samples to be selected in each treatment area;
resetting the data of the traps in each treatment area by taking a month as a unit, and monitoring again;
and obtaining pest monitoring big data according to the mode, and constructing the pest situation monitoring database according to the pest monitoring big data.
3. The insect pest situation monitoring and early warning method applied to the tobacco industry according to claim 1, wherein the pre-established insect pest rule base comprises: and establishing the insect pest rule base by combining expert prior knowledge and actually measured environment data of different treatment areas.
4. The insect pest situation monitoring and early warning method applied to the tobacco industry according to any one of claims 1 to 3, wherein the step of differentially displaying different early warning results by combining a visual insect pest situation early warning platform comprises the following steps:
marking the visual insect condition early warning platform by different colors, and outputting insect condition control measure information corresponding to different early warning results; wherein the early warning result of each treatment area comprises preset early warning level information.
5. The utility model provides an insect pest situation monitoring and early warning device for tobacco industry which characterized in that includes:
the database construction module is used for establishing an insect pest situation monitoring database based on insect pest data of different treatment areas monitored in a preset period;
the early warning judgment mechanism determining module is used for forming a plurality of corresponding early warning judgment mechanisms according to different treatment areas according to a pre-established pest rule base;
the early warning judgment module is used for carrying out early warning decision on the pest damage data in the pest situation monitoring database by utilizing the early warning judgment mechanism to obtain a plurality of corresponding early warning results;
and the visual display module is used for combining the visual insect condition early warning platform and displaying different early warning results in a distinguishing way.
6. The insect pest situation monitoring and early warning device applied to tobacco industry according to claim 5, wherein the database construction module comprises:
the sample collection unit is used for collecting the number of tobacco pests in each trap arranged in each preset treatment area every day and taking the tobacco pests as a sample to be selected;
the data statistics unit is used for carrying out data statistics on the samples to be selected in each treatment area by taking a week as a unit;
the monitoring resetting unit is used for resetting the data of the traps in each treatment area by taking a month as a unit and monitoring again;
and the database construction unit is used for obtaining the pest monitoring big data according to the mode and constructing the pest situation monitoring database according to the pest monitoring big data.
7. The insect situation monitoring and early warning device applied to the tobacco industry as claimed in claim 5, wherein the early warning judgment module comprises an insect pest rule base construction unit;
and the pest rule base construction unit is used for establishing the pest rule base by combining expert prior knowledge and the measured environmental data of different treatment areas.
8. The insect pest situation monitoring and early warning device applied to the tobacco industry according to any one of claims 5 to 7, wherein the visual display module comprises a management and control measure grading unit;
the management and control measure grading unit is used for marking the visual insect condition early warning platform by different colors and outputting insect condition management and control measure information corresponding to different early warning results; wherein the early warning result of each treatment area comprises preset early warning level information.
9. The utility model provides an insect pest situation monitoring and early warning equipment for tobacco industry which characterized in that includes:
one or more processors, a memory, and one or more computer programs, wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions which, when executed by the apparatus, cause the apparatus to perform the insect situation monitoring and forewarning method as claimed in any one of claims 1 to 4 for use in the tobacco industry.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program runs on a computer, the computer is caused to execute the insect situation monitoring and early warning method applied to the tobacco industry according to any one of claims 1 to 4.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106202489A (en) * | 2016-07-20 | 2016-12-07 | 青岛云智环境数据管理有限公司 | A kind of agricultural pest intelligent diagnosis system based on big data |
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2021
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| CN110414637A (en) * | 2019-07-12 | 2019-11-05 | 浙江中烟工业有限责任公司 | A kind of tobacco insect pest situation monitoring system |
| CN112528814A (en) * | 2020-12-04 | 2021-03-19 | 湖南高德联创环境管理有限公司 | Harmful organism monitoring and early warning method and system and storage medium |
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